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metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
  - generated_from_keras_callback
model-index:
  - name: kaytoo2022/t5_technical_qa_with_react
    results: []
inference: true
library_name: transformers
pipeline_tag: text2text-generation
widget:
  - text: |-
      summarize: function Example() {
        let [isLoading, setIsLoading] = React.useState(false);

        let handlePress = () => {
          // Trigger button pending state
          setIsLoading(true);

          setTimeout(() => {
            // Cancel button pending state
            setIsLoading(false);
          }, 3000);
        };

        return (
          <Button variant="primary" isPending={isLoading} onPress={handlePress}>
            Click me!
          </Button>
        );
      }
    example_title: Question answering
  - text: >-
      question: What does the setTimeout function do? context: function
      Example() {
        let [isLoading, setIsLoading] = React.useState(false);

        let handlePress = () => {
          // Trigger button pending state
          setIsLoading(true);

          setTimeout(() => {
            // Cancel button pending state
            setIsLoading(false);
          }, 3000);
        };

        return (
          <Button variant="primary" isPending={isLoading} onPress={handlePress}>
            Click me!
          </Button>
        );
      }
    example_title: Summarization

kaytoo2022/t5_technical_qa_with_react

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Train Loss: 2.0191
  • Validation Loss: 2.0546
  • Epoch: 3

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
  • training_precision: float32

Training results

Train Loss Validation Loss Epoch
2.5717 2.2548 0
2.2680 2.1607 1
2.1248 2.1008 2
2.0191 2.0546 3

Framework versions

  • Transformers 4.42.4
  • TensorFlow 2.17.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1